Learning in Precision Livestock Farming
ICIAP 2021 Workshop
Call for Papers
The Workshop on Learning in Precision Livestock Farming (LPLF), held in conjunction with ICIAP 2021, aims to attract novel and original contributions on the analysis, study and proposal of innovative machine and deep learning techniques applied to the automatic monitoring of animals in intensive farms, helping to improve the living conditions of the animals, optimizing the use of non-renewable resources and providing a positive social and environmental impact.
Precision livestock farming (PLF) has recently proved to be an effective resource in supporting the monitoring, observation and assessment of livestock conditions in intensive farms, overcoming the obvious disadvantages in terms of costs and time associated to manual supervision by human operators. PLF is a multidisciplinary research field, which integrates IoT technology, wireless sensor networks, multi-modal data analysis, and has recently seen a wider and wider application of machine learning techniques for automatic animal behaviour understanding, estimation of animal wellness, and yield prediction.
Expected submissions should cover, but are not limited to, the following topics:
- Animal behaviour understanding inside the barn
- Behaviour understanding of grazing animals
- Anomaly detection of animal behaviour
- Animal health monitoring and early detection of diseases
- Oestrus monitoring and detection
- Detection of aggressive behaviour
- Identification of the animals inside the barn
- Identification of grazing animals
- Video object detection and segmentation in unconstrained environments for PLF
- Self-supervision and semi-supervision in PLF
- Few-shot learning in PLF
Accepted papers will be presented at oral and poster sessions, and the workshop proceedings will be published by Springer LNCS.